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Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Attention Speaks Volumes: Localizing and Mitigating Bias in Language Models
Adiga, R., Nushi, B. & Chandrasekaran, V., 2025, Long Papers. Che, W., Nabende, J., Shutova, E. & Pilehvar, M. T. (eds.). Association for Computational Linguistics (ACL), p. 26403-26423 21 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
GENERATIVE MONOCULTURE IN LARGE LANGUAGE MODELS
Wu, F., Black, E. & Chandrasekaran, V., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 100108-100147 40 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Not All Wrong is Bad: Using Adversarial Examples for Unlearning
Ebrahimpour-Boroojeny, A., Sundaram, H. & Chandrasekaran, V., 2025, In: Proceedings of Machine Learning Research. 267, p. 14950-14971 22 p.Research output: Contribution to journal › Conference article › peer-review
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The Privacy Quagmire: Where Computer Scientists and Lawyers May Disagree
Zhao, Y., Chandrasekaran, V., Wies, T. & Subramanian, L., Nov 17 2025, HotNets 2025 - Proceedings of the 2025 24th ACM Workshop on Hot Topics in Networks. Association for Computing Machinery, p. 77-84 8 p. (HotNets 2025 - Proceedings of the 2025 24th ACM Workshop on Hot Topics in Networks).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
TRAINING ROBUST ENSEMBLES REQUIRES RETHINKING LIPSCHITZ CONTINUITY
Boroojeny, A. E., Sundaram, H. & Chandrasekaran, V., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 92522-92547 26 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution